Internet of Things

What is the Internet of Things?

The Internet of Things, or IoT, means the thousands of physical equipments worldwide that are now connected, collected and shared by the Internet. Because of inexpensive processors and wireless networks, everything from a pill to an aircraft to a self-driving vehicle can be converted into part of the IoT. This adds to devices a level of digital intelligence by enabling them to communicate real-time data without the involvement by humans, effectively integrating the digital and physical worlds.

What is the scope of IoT?

Connected devices give comfort, such as helping you to create a list of groceries, or savings, such as turning off the heat at home while on holiday. Below are the some top predictions about the Internet of Things:

  • By 2025, it is estimated that there will be more than to 21 billion IoT devices
  • More cities will become “smart”
  • Artificial intelligence will continue to become a bigger thing
  • Routers will continue to become more secure and smarter
  • Lacs of jobs will generate for the IoT professionals
  • 5G Networks will continue to increase IoT growth
  • Automated cars will get even smarter
  • 5G’s arrival will also open the door to new privacy and security concerns
  • Security and privacy concerns will drive legislation and regulatory activity
IoT Course Duration
Track Regular Track Weekend Track Fast Track
Course Duration 45-60 Days 8 Weekends 5 Day's
Hours 2 Hours a Day 3 Hours a Day 6+ Hours a Day
Training Mode Live Classroom Live Classroom Live Classroom

Syllabus

  • Case Studies from Nest, CISCO and top industries
  • IoT adaptation rate in North American & and how they are aligning their future business model and operation around IoT
  • Broad Scale Application Area
  • Smart house and smart city
  • Industrial Internet
  • Smart Cars
  • Wearable’s
  • Home healthcare
  • Business Rule generation for IoT
  • 3 layered architecture of Big Data –Physical (Sensors), Communication and Data Intelligence
  • Basic function and architecture of a sensor –Sensor body, sensor mechanism, sensor calibration, sensor maintenance, cost and pricing structure, legacy and modern sensor network- All basics about the sensors
  • Development of sensor electronics- IoT vs legacy and open source vs traditional PCB design style
  • Development of Sensor communication protocols –history to modern days. Legacy protocols like Modbus, relay, HART to modern day Zigbee, Zwave, X10,Bluetooth, ANT etc..
  • Business driver for sensor deployment- FDA/EPA regulation, Fraud/tempering detection, supervision, Quality control and process management
  • Different Kind of Calibration Techniques-manual, automation, infield, primary and secondary calibration –their implication in IoT
  • Powering options for sensors-Battery, solar, Witricity. Mobile and PoE
  • What is a sensor network? What is Ad-hoc network ?
  • Wireless vs. Wireline network
  • WiFi- 802.11 families: N to S- application of each standards and common vendors.
  • Zigbee and Zwave-advantage of low power mesh networking. Long distance Zigbee. Introduction to different Zigbee chips
  • Bluetooth/BLE: Low power vs high power, speed of detection, class ofBLE. Introduction of Bluetooth vendors & their review
  • Creating network with Wireless protocols such as Piconet by BLE
  • Protocol stacks and packet structure for BLE and Zigbee
  • Other long distance RF communication link
  • LOS vs NLOS links
  • Storage Classes
  • Sensor network packet architecture
  • Capacity and throughput calculation
  • Application issues in wireless protocols- power consumption, reliability, PER, QoS, LOS
  • PCB vs FPGA vs ASIC design-how to take decision
  • Prototyping electronics vs Production electronics
  • QA certificate for IoT- CE/CSA/UL/IEC/RoHS/IP65: What are those
  • Basic introduction of multi-layer PCB design and its workflow when needed?
  • Electronics reliability-basic concept of FIT and early mortality rate
  • Environmental and reliability testing-basic concepts
  • Basic Open source platforms: Adruino, Rasberry Pi, Beaglebone, RedBack, Diamond Back
  • State of the present art and review of existing technology in the marketplace
  • Suggestion for new features and technologies based on market analysis and patent issues
  • Detailed technical specs for new products- System, software, hardware, mechanical, installation etc.
  • Packaging and documentation requirements
  • Servicing and customer support requirements
  • High level design (HLD) for understanding of product concept
  • Release plan for phase wise introduction of the new features
  • Skill set for the development team and proposed project plan -cost & duration
  • Target manufacturing price
  • Protocol stack of Mobile app for IoT
  • Fundamentals of WAP ( Wireless application protocols)
  • Mobile to server integration –what are the factors to look out
  • What are the intelligent layer that can be introduced at Mobile app level ?
  • iBeacon in IoS
  • Global vs Local ID-GUID concept for secured IoT network
  • IoT-Middleware case study-1 Axeda
  • IoT Middleware case study-2 Xively
  • Introduction to Machine learning
  • Learning classification techniques
  • Bayesian Prediction-preparing training file
  • Support Vector Machine
  • Image and video analytic for IoT
  • Fraud and alert analytic through IoT
  • Bio –metric ID integration with IoT
  • Real Time Analytic/Stream Analytic
  • Scalability issues of IoT and machine learning
  • What are the architectural implementation of Machine learning for IoT
  • Insight analytic
  • Visualization analytic
  • Structured predictive analytic
  • Unstructured predictive analytic
  • Recommendation Engine
  • Pattern detection
  • Rule/Scenario discovery –failure, fraud, optimization
  • Root cause discovery
  • Iaas : Information as a service-evolving models
  • Mechanism of security breach in IOT layer for Iaas
  • Middleware for Iaas business implementation in healthcare, homeautomation and farming
  • Iaas case study for vehicular information for Auto-insurance and Agriculture
  • Paas: Platform as a service in IoT. Case studies of some of the IoT middleware
  • Saas : Software/System as service for IoT business models
  • European legislation for security in IoT platform
  • Firewalling and IPS
  • Updates and patches
  • SQL vs NoSQL-Which one is good for your IoT application
  • Open sourced vs. Licensed Database
  • Available M2M cloud platform
  • Basic functionality of IoT cloud platform
  • Real Time Analytic
  • Batch Analytic
  • Data storage
  • Data filtering
  • Rule engine
  • Process mapping
  • Caching of Data for IoT rule implementation
  • Lossless data compression /Data encoding : Huffman and Progressive filtering
  • Xively/ Omeg/Ayla/Libellium/CISCO M2M platform /AT &T M2M platform/ Google M2M platform
  • Home automation
  • Energy optimization in Home
  • Automotive-OBD /Iaas/Paas for Insurance and Car parking
  • IoT-Lock
  • Smart Smoke alarm
  • BAC ( Blood alcohol monitoring ) for drug abusers under probation
  • Pet cam for Pet lovers
  • Wearable IOT
  • Mobile parking ticketing system
  • Indoor location tracking in Retail storeT
  • Home health care
  • Smart Sports Watch
  • 4V- Volume, velocity, variety and veracity of Big Data
  • Why Big Data is important in IoT
  • Big Data vs legacy data in IoT
  • Fundamental of Map reduced system (MR)
  • Hadoop and HDFS
  • Kafka for data messaging and brokerage
  • Storm/Bolt/Spout-fundamentals of real time analytic system
  • Storage technique for image, Geospatial and video data
  • Distributed database like Cassandra and HDFS
  • Parallel computing basics for IoT
Apply for the course

The Internet of Things (IoT) is used in sectors that prefer automation, smart devices and energy-efficient systems etc. According to the reports there will be more than 50 billion devices linked by 2020. But IoT learning isn't easy because the system operates on complicated modules and processes. The best way to learn IoT is through projects and teaching.

Learn by working on Hands-on Real Time IOT Projects

Drona Training Academy has created real-time project based courses to help you to create excellent IoT projects. You can learn and create innovative IoT-based projects on a timely basis at your own time and pace. These courses have a methodology of learning-do-reviewing which ensures proper learning.All registered individuals after successful project completion will receive a Certification with distinctive codes. Use our Project Based Courses to learn and to build your IoT projects on the Internet of Things (IoT).

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